ML Platform Engineer
Own model deployment tooling so research work reaches Buffer's product suite without bespoke glue each time.
914 roles across 160 companies — filter by region or category.
Showing 50 of 625 matching positions (51–100)
Clear filtersOwn model deployment tooling so research work reaches Buffer's product suite without bespoke glue each time.
Own the design system and the polish layer across Cal.com's open-source projects.
Train, evaluate and serve models that power Cal.com's open-source projects at production scale.
Own the design system and the polish layer across Chainguard's security platform.
Ship LLM-powered features into Chainguard's security platform, from prompt and retrieval design through evaluation and rollout.
Review designs, harden services and fix classes of vulnerability across Chainguard's security platform.
Turn model capabilities into dependable product surfaces across CircleCI's developer platform, balancing latency, cost and quality.
Own Kubernetes, deployment tooling and paved-road abstractions underneath CircleCI's developer platform.
Investigate training, alignment and evaluation methods that make the models behind CircleCI's developer platform more useful.
Deliver working implementations of Clerk's developer platform inside customer environments.
Design and run large-scale training experiments, then turn the findings into production model releases.
Own the design system and the polish layer across ClickHouse's data platform.
Deliver working implementations of ClickHouse's data platform inside customer environments.
Optimise inference throughput and cost for the models running behind ClickHouse's data platform.
Prototype and ship interface work for Close's product suite, living between design and front-end code.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Close's product suite.
Own Kubernetes, deployment tooling and paved-road abstractions underneath Close's product suite.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Coinbase's financial platform.
Own infrastructure-as-code, networking and capacity planning for Coinbase's financial platform.
Own the lakehouse and streaming infrastructure underneath Coinbase's financial platform, with an eye on cost and freshness.
Define evaluation criteria, pricing and rollout strategy for AI features across Coinbase's financial platform.
Build the pipelines, feature stores and monitoring that keep models behind Confluent's data platform reproducible and observable.
Review designs, harden services and fix classes of vulnerability across Confluent's data platform.
Design and run large-scale training experiments, then turn the findings into production model releases.
Design and run the multi-region cloud footprint behind Confluent's data platform, with cost and resilience both in view.
Own infrastructure-as-code, networking and capacity planning for CrowdStrike's security platform.
Ship LLM-powered features into CrowdStrike's security platform, from prompt and retrieval design through evaluation and rollout.
Prototype and ship interface work for CrowdStrike's security platform, living between design and front-end code.
Own the lakehouse and streaming infrastructure underneath CrowdStrike's security platform, with an eye on cost and freshness.
Make the build, test and deploy loop fast for everyone working on dbt Labs's data platform.
Optimise inference throughput and cost for the models running behind dbt Labs's data platform.
Prototype and ship interface work for dbt Labs's data platform, living between design and front-end code.
Own the AI surfaces inside Deel's employment platform, deciding what to automate, what to assist and what to leave alone.
Drive cross-team programmes across Deel's employment platform, keeping dependencies, risk and timelines visible.
Build detections and response automation covering the infrastructure behind Deel's employment platform.
Build agentic workflows and tool-calling systems on top of Deel's employment platform, and own their accuracy in production.
Build agentic workflows and tool-calling systems on top of DigitalOcean's product suite, and own their accuracy in production.
Own the design system and the polish layer across DigitalOcean's product suite.
Build the ingestion, storage and query layers that every team uses to reason about DigitalOcean's product suite.
Own developer tooling, CI throughput and local environments for the teams building Drata's security platform.
Own the lakehouse and streaming infrastructure underneath Drata's security platform, with an eye on cost and freshness.
Sit with customers, build the integrations they need on Drata's security platform, and feed the rough edges back to product.
Own Kubernetes, deployment tooling and paved-road abstractions underneath DuckDuckGo's open-source projects.
Own infrastructure-as-code, networking and capacity planning for DuckDuckGo's open-source projects.
Run experiments that push the model capabilities behind Elastic's developer platform, and publish or ship what works.
Define evaluation criteria, pricing and rollout strategy for AI features across Elastic's developer platform.
Train, evaluate and serve models that power Elastic's developer platform at production scale.
Sit with customers, build the integrations they need on Elastic's developer platform, and feed the rough edges back to product.
Run experiments that push the model capabilities behind Fivetran's data platform, and publish or ship what works.
Probe model behaviour for failure modes and build the evaluations that gate releases across Fivetran's data platform.
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